import numpy as np
import matplotlib.pyplot as plt

MATH_INPUT_ARRAY_LEN = 64

# input.
arm_math_input_V2_f32 = []
for i in range(MATH_INPUT_ARRAY_LEN):
	arm_math_input_V2_f32.append(0.1 * i + 0.1)

in_vector = np.array(arm_math_input_V2_f32)

# output.
out_vector = np.ones(MATH_INPUT_ARRAY_LEN) / in_vector

# display
print(out_vector)
plt.plot(in_vector, out_vector, color='red', marker='.')
plt.show()

